A deep learning algorithm to quantify AVF stenosis and predict 6-month primary patency: a pilot study

BACKGROUND: A deep convolutional neural network (DCNN) model that predicts the degree of arteriovenous fistula (AVF) stenosis and 6-month primary patency (PP) based on AVF shunt sounds was developed, and was compared with various machine learning (ML) models trained on patients’ clinical data. METHO...

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Detalles Bibliográficos
Autores principales: Park, Jae Hyon, Yoon, Jongjin, Park, Insun, Sim, Yongsik, Kim, Soo Jin, Won, Jong Yun, Han, Kichang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972839/
https://www.ncbi.nlm.nih.gov/pubmed/36865006
http://dx.doi.org/10.1093/ckj/sfac254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9972839/
https://www.ncbi.nlm.nih.gov/pubmed/36865006
http://dx.doi.org/10.1093/ckj/sfac254

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